Early Warning Systems (EWS) based on Educational Management Information Systems (EMIS)

On November 23, 2021 the Regional Bureau for Education in Latin America and the Caribbean (OREALC/UNESCO Santiago) and the Latin American Office of UNESCO’s International Institute for Educational Planning (IIPE) organised the third Regional Virtual Workshop on the Community of Data Specialists for Educational Planning The Regional Virtual Workshop provided a group work space in which officials, civil servants and data specialists from 14 countries participated. They reflected on school dropout prevention and on the region’s Early Warning System experiences. This report systematises the main reflections and experiences shared in the meeting. 

Type
Programme and meeting document
Licence Condition
Creative Commons: Attribution Share Alike 3.0 IGO
Date of Publication
Region
Latin America & the Caribbean
Language
English
Spanish
Topics
Legislation, Policies, and Regulations
Data Analysis
Knowledge Sharing
Monitoring and Evaluation
Keywords
education management information systems
warning systems
monitoring
dropping out
Authors
UNESCO Office Santiago and Regional Bureau for Education in Latin America and the Caribbean
UNESCO IIEP Buenos Aires. Oficina para América Latina
Publisher/Source
UNESCO

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Latent (0-25%) - The organization lacks the foundational elements necessary for effective EMIS implementation and does not align with the component characteristics that are required for impactful EMIS outcomes. Incipient (26-50%) - The organization has begun to establish foundational elements in the component for EMIS implementation but requires significant development to achieve impactful EMIS outcomes. Emerging (51-75%) - The organization has developed foundational elements for EMIS implementation and is partially aligned with the component characteristics needed for impactful EMIS outcomes, though gaps remain. Established (76-100%) - The organization has fully developed and implemented the foundational elements for EMIS, demonstrating strong alignment with the component characteristics required for impactful EMIS outcomes.